The Web Conference 2018 has selected the “I Read but Don’t Agree: Privacy Policy Benchmarking using Machine Learning and the EU GDPR” paper by Welderufael B. Tesfay, Peter Hofmann, Toru Nakamura, Shinsaku Kiyomoto and Jetzabel Serna for the Best Demo Award. The paper proposes a machine learning based approach to evaluate lengthy privacy policies and present them in short and condensed notes that are easy to understand by ordinary users that would otherwise have difficulty comprehending the complex privacy policy document. It considers the EU GDPR for the development of the assessment criteria, and further takes a risk-based approach in order to draw the attention of users into the privacy aspects. Furthermore, the tool can also give actionable insights to privacy policy designers and data protection officers. During the conference, the demo could trigger heated discussions among privacy researchers, practitioners and lawyers on how privacy policy should be designed taking into account usability concerns and requirements from data protection regulations.

« This is a timely contribution to helping users understand privacy policies on the web in an easy to use manner. » – The Demos chairs said.

The paper is a result of joint research efforts among information privacy researchers at the Deutsche Telekom Chair of Mobile Business & Multilateral Security at Goethe University Frankfurt, and KDDI Research Inc. in Japan.

Our former staff member of Mobile Business and Multilateral Security, Ahmad Sabouri, has defended his Ph.D. dissertation successfully at the Department of Computer Science (FB12) on the 25th of September. 2017. All the staff members wish him a very fruitful future in his career.

Exam review for PDBM SS 17 is scheduled on the 5th of September 2017 starting at 14:00 at Raum 2.217 (RuW). To participate, please register via an email with a subject "PDBM SS 17 exam review" with your matriculation number to welderufael.tesfay[at]m-chair[dot]de until midday the 1st of September 2017.

Exam review for MOB2 SS 17 is scheduled on the 6th of September 2017 starting at 10:00 at Raum 2.217 (RuW). To participate, please register via an email with a subject "MOB2 SS 17 exam review" with your matriculation number to mob2[at]m-chair[dot]de until midday the 1st of September 2017.

If you have questions on the lectures or on the exercises, you can send them to the email mob2[at]m-chair[dot]de until Monday, the 17th of July 14.00. The answers will be discussed in the coming lecture session on Thursday, July 20.

The 2nd exam review for INKO WS16/17 is scheduled on the 26th of April 2017 starting at 10:30 at Raum 2.217 (RuW). To participate, please register via an email with subject "2nd INKO WS16/17 exam review" with your matriculation number to ahmed[dot]yesuf[at]m-chair[dot]de until midday the 25th of April 2017.

INKO exam review for INKO WS16/17 is scheduled on the 15th of March 2017 starting at 11:00 at Raum 2.217 (RuW). To participate, please register via an email with subject "INKO WS16/17 exam review" with your matriculation number to sec@m-chair.de until midday the 13th of March 2017.

the Examination Office is conducting the lecture evaluations electronically this term (for the first time). Therefore, we kindly ask you to bring adequate computing devices (preferably laptops or tablets) on the following dates:

The 2nd exam review for INKO SS16 is scheduled on the 25th of October 2016 starting at 16:15 at Raum 2.217 (RuW). To participate, please register via an email with subject "MOB2 SS16 2nd exam review" with your matriculation number to david.harborth@m-chair.de until midday the 19th of October 2016.